STAT 121 Introduction to Statistics for the Social 4 credits
Sciences (MS)

Introduction to statistical methods common to social science applications. Topics include descriptive statistics, elementary probability theory, concepts of sampling and principles of statistical inference. Prerequisite: A suitable score on LRC Algebra placement exam. Not open to students who have passed a higher level of statistics course with a grade of "C" or better.

Organization and presentation of data, summary of descriptive measures, probability, binomial and normal distributions, sampling natural populations and the estimation of population parameters, hypothesis testing, chi-square analysis, experimental designs and the analysis of variance, linear regression and correlation, and nonparametric statistics. Students will be introduced to statistical computing. All the statistical procedures will be illustrated using data from biology and the health sciences. Note: Not open to students who have passed or are concurrently taking STAT 351, STAT 355, STAT 356, STAT 453 or CMPE 320. This course does not satisfy the statistics requirement for computer science majors and does not qualify as part of the mathematics major or minor. Prerequisite: MATH 150 or MATH 151 placement.

Organization and presentation of data, summary of descriptive measures, probability, binomial, normal distributions and Pareto distribution, estimation of population parameters, sampling distributions, hypothesis testing, chi-square analysis, analysis of variance, linear regression and correlation, index numbers, time series analysis and forecasting. Students will be introduced to statistical computing. All the statistical procedures will be illustrated using data from management, business and economics. Note: Not open to students who have passed or are concurrently taking STAT 350, STAT 355, STAT 356, STAT 453 or CMPE 320. This course does not satisfy the statistics requirement for computer science majors and does not qualify as part of the mathematics major or minor. Prerequisite: MATH 150 or MATH 155.

An introduction to applied statistics designed for science majors and others with demonstrated quantitative ability. Topics include nature of statistical methods, random variables and their distribution functions, general principles of estimation and hypothesis testing. A laboratory introduces students to computer techniques in statistical analysis. Note: Not open to students who have passed with a grade of "C" or better or who concurrently are taking STAT 350, STAT 351 or STAT 453. Prerequisite: MATH 142 or MATH 152. Recommended: CMSC 203.

The student will become familiar with commercial statistical packages such as SAS, SPSS, BMDP, Splus and their use for various statistical applications. Prerequisite: STAT 350, STAT 351, STAT 355 or STAT 453 or permission of instructor.